The GIS trends are evolving dynamically after Covid19. The geospatial industry can be segmented into solutions and services on the basis of components. Geospatial Analytics based solutions were the largest market share in 2020. The solutions cover data integration ETL, geocoding and reverse geocoding, Thematic mapping, spatial analysis, reporting, and data visualization. Modern companies are using geospatial analytics to improve operations and agility. They are showing interest in knowing global business patterns and trying to save operational costs.
Market Share
The global geospatial analytics market is projected to grow from $63.61 billion in 2021 to $147.58 billion in 2028 at a CAGR of 12.8% in the forecast period. [1]
GIS Trends – Can we predict the future of the GIS industry?
Although we can’t predict the future exactly, we can forecast the industry GIS trends on the basis of patterns and key people of influence moves in the industry. Every industry has unique patterns of business. Key persons in the industry set the trends by introducing the state of the art solutions. These solutions exactly fit the market gaps. We can say that these solutions look like they are bespoke products. Customers are willing to pay a handsome sum for those solutions. These solutions impact the trends of the industry. Sometimes market demand highlights the demands and solution providers make required products to fulfill the demand. Additionally, these products scale with time and become mega products in the industry.
What is modern GIS technology and how is it impacting GIS Trends?
Modern GIS (Geographic Information System) technology refers to the advanced tools, techniques, and software applications used to collect, manage, analyze, and visualize geographic data. GIS technology enables users to store and manipulate large amounts of spatial data, including maps, satellite imagery, and location-based data, to support decision-making processes in various fields such as urban planning, resource management, environmental analysis, and public health.
What are the major GIS trends in the Geospatial industry?
We can consider some insight into 10 emerging GIS trends for 2024 based on current industry trends and Advancements.
- Cloud-Based GIS Solutions
- 3D Mapping
- Real-Time Data
- Spatial Data Science
- Augmented Reality
- IoT
- Open Data Initiatives
- Blockchain Geospatial Data
- Automation
- Sophisticated Mobile GIS apps
Cloud-Based GIS Solutions
Professionals in the GIS industry have recently adopted cloud technology to access a range of geodata on the web. This allows them to analyze, share, sell, and purchase geodata freely over the internet. Utilizing cloud-based systems has enabled these professionals to streamline their operations in real time.
The software-as-a-service (SaaS) model is impacting the GIS Trends, which provides three unique geospatial technology models, were introduced by cloud computing. These approaches include
- Imagery-as-a-service(IaaS)
- GIS-as-a-Service (GaaS)
- Applications-as-a-service (AaaS)
Through public, private, or hybrid cloud services, one can utilize these models.
All features and data in public GIS cloud services are open to all users without restrictions and are typically kept on the same physical infrastructure. The private cloud, in comparison, restricts access to GIS features to authorized users and stores each organization’s data separately on specialized hardware.
The hybrid cloud, which combines public and private services, has grown in popularity recently. It is ideal for preserving crucial data for geospatial data analysis while keeping other data accessible to the general public.
Cloud computing has been a growing trend in recent years, and it’s no different for GIS. More companies are shifting to cloud-based GIS to improve efficiency, accessibility, and collaboration among users.
3D mapping – GIS Trends 2024
3D mapping helps you to add a Z dimension to your data. It creates a virtual as-built infrastructure to conceptualize your vision. Generally, it is used in building information, Maga campus management, smart city planning, regional analysis, and global issue views.
With the advancements in drone technology and LiDAR scanning, 3D mapping is becoming more accessible and accurate. It has the potential to revolutionize the way we perceive and analyze geospatial data.
Real-time data
Real-time data is becoming increasingly important in industries like transportation and emergency management. GIS platforms that can handle and process real-time data will become more in demand.
Spatial Data Science
Spatial data science is an emerging field that combines GIS, machine learning, and statistics to gain insights from geospatial data. This field is impacting hard GIS Trends in the industry. As the amount of available data increases, so does the need for professionals who can analyze it.
Augmented Reality
Augmented reality (AR) is already being used in some GIS applications to provide users with an interactive and immersive experience. In the future, we can expect to see more widespread adoption of AR in GIS.
Internet of Things (IoT)
The Internet of Things (IoT) is a network of physical devices that are connected to the internet and can collect and exchange data. As more devices become IoT-enabled, we can expect to see more GIS applications that use IoT data.
Open-Data Sharing
Open data initiatives are becoming more popular, and GIS is no exception. Open data provides access to valuable information that can be used to improve decision-making and analysis.
Process Automation
Automation is already being used in some GIS applications to reduce manual labor and improve efficiency. In the future, we can expect to see more automation in GIS workflows.
Use of Blockchain in GIS Applications
Blockchain technology can be used to create secure and transparent data systems, which is particularly important for sensitive geospatial data. As blockchain technology advances, we can expect to see more GIS applications using it.
Mobile GIS
Mobile GIS is already popular, but we can expect to see more advancements in the future. With the increasing capabilities of mobile devices, we can expect to see more sophisticated mobile GIS applications.
Conclusion
AI is becoming the necessary building block of new technologies. Similarly, GIS as a tool is occupying space as a building block of emerging technologies. GIS itself is adopting new technologies with time, this is the great quality of the GIS community to welcome all types of new technologies to empower geospatial solutions for the emerging market.
As time passes, data will increase and more complex. We will need GIS-enabled bots to analyze and address location-based problems. Imagine our world has millions of robots and flying cars, it will be difficult to identify the exact location of each device in space, then GIS application will help to solve the complex location problem. Even though, GIS solutions are being used in lost ariel objects like flights or drones.
